Results 71 to 80 of about 3,693 (219)
South African Computer Journal, 2012 Hyper-heuristics are aimed at providing a generalized solution to optimization problems rather than producing the best result for one or more problem instances.
Nelishia Pillay
doaj
Distributed hyper-heuristics for real parameter optimization [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance than any of the original heuristics. While HHs lend themselves naturally for distributed deployment, relatively little attention has been paid so far on the design and evaluation
Biazzini, Marco +3 more
openaire +2 more sources
Dynamic Evolution and Transformative Trends in the Consumer Market: A Technology Paradox Perspective
Psychology &Marketing, EarlyView.ABSTRACT The consumer market is defined by tensions arising from the clash between technological advancement and consumer psychology. Current research lacks a unifying framework to explain these contradictions. Addressing this gap, we introduce a conceptual model based on technology paradox theory, which maps the dynamic process from antecedents ...
Chanaka Jayawardhena +3 more
wiley +1 more source
Markov Chain Selection Hyper-heuristic for the Optimisation of Constrained Magic Squares [PDF]
, 2016 UKCI 2015: UK Workshop on Computational Intelligence, University of Exeter, UK, 7-9 September 2015A square matrix of size n × n, containing each of the numbers (1, . . .
Keedwell, EC, Kheiri, A
core
A multi-objective hyper-heuristic based on choice function [PDF]
, 2014 Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics in an attempt to solve difficult computational optimization problems.
Kendall, Graham +2 more
core +2 more sources
Policy Capacity Under Decentralization: Kindergarten Education Reforms in the Philippines
Public Administration and Development, EarlyView.ABSTRACT The paper examines the relationship between policy capacity and policy effectiveness in decentralized governance setups. It challenges the conventional view that policy functions should only be decentralized when requisite capacities already exist at lower levels of government. Instead, the paper proposes that capacity can follow function ‐ as
Kidjie Ian Saguin, M. Ramesh
wiley +1 more source
Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020 Examination Timetabling Problem is one of the optimization and combinatorial problems. It is proved to be a non-deterministic polynomial (NP)-hard problem.
Gabriella Icasia +2 more
doaj +1 more source
The power of expressed humility: Early stage investors' reaction to humble entrepreneurs
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary We examine how entrepreneur‐expressed humility affects early stage investors' willingness to fund new ventures. In pitching contexts where investors rely on relational cues and implicit prototypes of entrepreneurs, we theorize three distinct pathways through which expressed humility shapes funding decisions. First, building on
Laurent Vilanova, Ivana Vitanova
wiley +1 more source
Offline Learning for Selection Hyper-heuristics with Elman Networks [PDF]
, 2017 This is the author accepted manuscript. The final version is available from the publisher via the link in this record.Offline selection hyper-heuristics are machine learning methods that are trained on heuristic selections to create an algorithm that is ...
Keedwell, E, Yates, W
core
Online Selection of CMA-ES Variants
, 2019 In the field of evolutionary computation, one of the most challenging topics is algorithm selection. Knowing which heuristics to use for which optimization problem is key to obtaining high-quality solutions. We aim to extend this research topic by taking
Bäck, Thomas +3 more
core +1 more source